The client’s intended users, grounded in their customer evidence
Ground the study in customer evidence relevant to this decision.
into a decision.
When every stakeholder prefers a different direction, another round of opinions will not settle it. Bring audience reactions and clear reasoning to the next product or design review.
Use study findings to support your client presentation, explain the compromises and set a clear purpose for the next round of design.
Compare concepts against the same audience and question, then explain the trade-offs behind your recommendation.
Explore concept testingExamine likely usability friction before handoff and use it to focus the next iteration.
Explore ux testingExplore motivations and needs early so your team can take sharper questions into client and customer interviews.
Explore depth interviewsBring a real question. We’ll scope the audience, evidence and study together.
Ground the study in customer evidence relevant to this decision.
Client brief
Design directions
Customer research
Keep the question, the evidence and the next action connected.
Should the new experience lead with guided discovery or direct search?
Compare how each concept fits the intended audience’s goals and expectations. Include the reasons for a preference and the questions that remain.
Recommend a direction with a clear rationale, then agree what the next prototype or human study should resolve.
Illustrative research brief. This is an example of how to use findings, not a completed customer study or a product screenshot.
Sunzu internal back-testing. Research, 500+ humans is the reference set to 100%. This is a study-specific comparison, not an overall accuracy score or a guarantee for your study.
In just a couple of months, over 170 of our colleagues have run over 500 studies.
We’re now directly integrating audiences into many of our research, product and marketing workflows.
In a market flooded with AI-generated noise, this was the first platform that genuinely earned our trust.
By grounding its models in research principles, behavioural science, and real customer data, it delivers insights that feel credible, transparent, and actionable.
It changed our perspective on what’s possible with AI in customer research.